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Workday Rising
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FN310962 - Journal Insights in Workday: Identifying Errors Early to Expedite Your Close

Session Speakers
Session Description

Journal insights in Workday leverages machine learning to analyze and surface anomalies in journal lines on an automatic and continuous basis, which enables greater efficiency and confidence in closing accounting periods. As journal insights discovers and flags anomalies, it gives accountants the ability to provide feedback to ensure only the most relevant results are surfaced.


Additional Information
Director/Business Leader, Professional/ Daily User
Not applicable
Business Management and Industry Trends, Finance
Machine Learning
Healthcare, Retail and Hospitality
Close and Consolidation, General Ledger (Core Accounting)
Intermediate
CPE
Understand how machine learning detects worktag miscodings much earlier in the period for Christiana Care and Lifetime Fitness for a quicker and more efficient close.
Learn what comes next for journal insights and how that can benefit other customers.
Learn how Christiana Care and Lifetime Fitness partnered with Workday as Early Adopters for an innovation solution.
Breakout Session
1 hour
Session Schedule
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